Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a 20-minute conference talk from the ACM CHI Conference on Human Factors in Computing Systems that delves into improving performance and maintaining intrinsic motivation in high-intensity VR exergaming. Learn about an innovative method based on interactive feedforward, a psychophysical training technique that exposes participants to self-models showcasing previously unachieved performance levels. Discover the study's findings on competing against self-models with increased resistance versus virtual competitors, and how awareness of interventions affects performance and motivation. Gain insights into the potential of this approach for enhancing high-intensity exercise protocols in exergames, addressing physical inactivity, and leveraging high-intensity interval training in virtual reality environments.
Syllabus
Intro
Physical Inactivity
High Intensity Interval Training
Interactive Feedforward
Research Question 1
Game Mode (Within Participants)
Resistance Awareness
Competition Framing
Limitations
Taught by
ACM SIGCHI
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